51 phd-data-maining "Computer Vision Center" Fellowship positions at Indiana University
Sort by
Refine Your Search
-
biostatistical, health data science, and informatics research and education. We have an extensive portfolio of research program in related areas. Our NIH funding as principal investigators and co-investigators has
-
Posting Details Position Details Title Postdoctoral Fellow in Biostatistics & Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU School
-
research projects aimed at improving reach and effectiveness of behavioral health services for young people are encouraged to apply. The fellow will actively participate in implementation, data analysis, and
-
implementation science, with an emphasis on improving care for older adults and individuals with dementia. The fellow will join a dynamic, interdisciplinary team under the primary mentorship of Dr. Kathleen Unroe
-
college classes using Terracotta Support the creation of a network of teachers at institutions where Terracotta is integrated (think Prolific, but for education research) Analyze data and present findings
-
Sciences Master of Health Administration (MHA) MS in Biostatistics MS in Global Health & Sustainable Development Doctoral Degrees: PhD in Biostatistics PhD in Epidemiology PhD in Health Policy and Management
-
interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
-
analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
-
University Notice of Non-Discrimination here which includes contact information. Basic Qualifications At least 3 years of training in a PhD in experimental subatomic physics or precision measurement is
-
bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages